Triple
T9540724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelheim (district) |
E230148
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Bad Abbach
Bad Abbach is a spa town in Bavaria, Germany, known for its thermal springs and health resorts.
|
E812002
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bad Abbach | Statement: [Kelheim (district), containsMunicipality, Bad Abbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Abbach Context triple: [Kelheim (district), containsMunicipality, Bad Abbach]
-
A.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
B.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
C.
Schönbuch
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
-
D.
Wiesentheid
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bad Abbach Triple: [Kelheim (district), containsMunicipality, Bad Abbach]
Generated description
Bad Abbach is a spa town in Bavaria, Germany, known for its thermal springs and health resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Abbach Target entity description: Bad Abbach is a spa town in Bavaria, Germany, known for its thermal springs and health resorts.
-
A.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
B.
Appenweier
Appenweier is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
-
C.
Schönbuch
Schönbuch is a large forest and nature reserve in the German state of Baden-Württemberg, known for its extensive woodlands, wildlife, and recreational hiking areas.
-
D.
Wiesentheid
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
-
E.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e695948190ab107fff38c57de7 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18211c1408190806823e93932c64c |
completed | April 4, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d1841dd14c8190b682aefee284be67 |
completed | April 4, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18478a9988190b55d13da3f6b0333 |
completed | April 4, 2026, 9:36 p.m. |
Created at: March 30, 2026, 8:01 p.m.